SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Vol. 10 No. 2 (2021): Volume 10 Nomor 2 (September 2021)

Hubungan Antara Self Regulated Learning dengan Self Efficacy Mahasiswa melalui Strategi Blended Learning pada Perkuliahan Biologi Dasar

Muhiddin Palennari (Universitas Negeri Makassar)
Firdaus Daud (Universitas Negeri Makassar)
Nurhayati B (Universitas Negeri Makassar)



Article Info

Publish Date
30 Sep 2021

Abstract

Self-regulated learning is an independence in learning that must be promoted in order that students do not only rely solely on the information provided by lecturers. While, Self efficacy is a belief and hope regarding the ability of individuals to deal with their duties. Both can can be promoted by implementing appropriate learning strategies. One of the learnings strategies that can be implemented is the blended learning strategy. Accordingly, this research is conducted to assess the relationship between self regulated learning and student self-efficacy in the Department of Biology. The population in this study was all students of the Department of Biology in 2019 consisting of 158 people. The sample was taken by simple random sampling consisting of 39 people. The instrument used was a self regulated learning questionnaire consisting of 30 items, and a self-efficacy questionnaire consisting of 18 items. The research data was analyzed product moment correlation. The results obtained by value r = 0.619 with a significance value of p = 0.000 smaller than α = 0.05. Thus,it was concluded there was a relationship between self regulated learning and student self-efficacy in Basic Biology Class. From the results of the study, students' self-regulated learning and self-efficacy should be developed in learning.

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Journal Info

Abbrev

sainsmat

Publisher

Subject

Description

The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in sciences, mathematics, statistics, education, and applied science. The journal welcomes articles that address common issues in mathematics, sciences, statistics, ...